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Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study)

Received: 31 October 2016    Accepted: 09 February 2017    Published: 04 March 2017
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Abstract

The optimal order quantity is the one of the main logistics tasks that takes place in modern theory and practice. Variety of consumers with its own demand and irregularity of consumption during the year exponentially increase number and times of calculation of economic order quantity. These complicate the EOQ decisions. At the same time, variation of the costs throw this process complicate this tacks exponentially. Using regression model for describe order cost and holding cost per unit simply calculations and consider its variability character.

DOI 10.11648/j.sr.20170501.11
Published in Science Research (Volume 5, Issue 1, February 2017)
Page(s) 1-5
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Decision, Order, Effectiveness, Logistics, Variable, Logistics, Model

References
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Author Information
  • Department of Transport Systems and Logistics, O. M. Beketov National University of Urban Economy in Kharkiv, Kharkv, Ukraine

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    Andrii Halkin. (2017). Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study). Science Research, 5(1), 1-5. https://doi.org/10.11648/j.sr.20170501.11

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    Andrii Halkin. Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study). Sci. Res. 2017, 5(1), 1-5. doi: 10.11648/j.sr.20170501.11

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    AMA Style

    Andrii Halkin. Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study). Sci Res. 2017;5(1):1-5. doi: 10.11648/j.sr.20170501.11

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  • @article{10.11648/j.sr.20170501.11,
      author = {Andrii Halkin},
      title = {Estimation of Economic Order Quantity with Variable Parameters (Ukraine Case Study)},
      journal = {Science Research},
      volume = {5},
      number = {1},
      pages = {1-5},
      doi = {10.11648/j.sr.20170501.11},
      url = {https://doi.org/10.11648/j.sr.20170501.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.sr.20170501.11},
      abstract = {The optimal order quantity is the one of the main logistics tasks that takes place in modern theory and practice. Variety of consumers with its own demand and irregularity of consumption during the year exponentially increase number and times of calculation of economic order quantity. These complicate the EOQ decisions. At the same time, variation of the costs throw this process complicate this tacks exponentially. Using regression model for describe order cost and holding cost per unit simply calculations and consider its variability character.},
     year = {2017}
    }
    

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    AB  - The optimal order quantity is the one of the main logistics tasks that takes place in modern theory and practice. Variety of consumers with its own demand and irregularity of consumption during the year exponentially increase number and times of calculation of economic order quantity. These complicate the EOQ decisions. At the same time, variation of the costs throw this process complicate this tacks exponentially. Using regression model for describe order cost and holding cost per unit simply calculations and consider its variability character.
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